10 Big Data Analytics Tools & Software Free In 2023

Free Big Data Analytics Tools & Software – Have you ever wanted an item, such as a watch, and started looking for price details or a marketplace that sells that watch? After that, you decide to open YouTube and suddenly you are surprised because the watch you were just looking for suddenly appears in the video advertisement you were about to watch. One of the data analysis tools is what helps this all happen.

So, you don’t need to panic, apart from the tools, this happens due to the smart digital assistant feature which tracks your search history and reloads it as additional information that can help you make your dreams come true. That’s how big data works for companies to obtain user data.

Big Data Analytics Tools & Software Free

Big Data Analytics Tools

The user data is then processed using data analysis tools. Now, data analysis can be done with various available tools. Here are the ten best data analysis tools for 2022.

1. Python

The first DataAnalysis tool is Python. Python is one of the most widely used open source software for programming and developing through code. More than just a platform, Python is a programming language that works through object-oriented scripting very similar to other programming languages, such as JavaScript or PHP. What makes Python unique is that it is simple, easy to read, and easy to code.

2. R (Big Data Analytics Tools)

R is an analysis tool with a leading programming language for statistical modeling, visualization, and data analysis. This Data Analysis tool is usually used by statisticians for statistical analysis, big data, and machine learning. You can use this tool for free and have many improvements in the form of packages written by users. To be able to use these tools, some knowledge of coding is required.

3. SAS

SAS is a data analysis tool that is widely used for business intelligence, data management, and predictive analysis. SAS is proprietary software, which means companies have to pay to use it. SAS provides free access for students who want to study using SAS. Although SAS has a simple GUI and is easy to learn, a good knowledge of SAS programming is an added advantage to using this tool.

4. Excel (Big Data Analytics Tools)

Excel is one of the most popular tools. Almost all data analysis is done using this tool because it makes it easier to work with data, perform calculations, and apply formulas quickly.

Although Excel also has visualization capabilities, it is less than satisfactory when compared to Power BI. Excel is more oriented towards mathematical analysis, while Power BI allows reporting in a variety of formats. In addition, Excel can only process a limited amount of data

5. Power BI

Power BI is a data visualization and analysis tool from Microsoft that is popular for its logic, multiple capabilities and better usability than other platforms. Power BI is more than just a tool, as it provides a suite of business intelligence services that assist companies in organizing data, analyzing data and presenting it in the most effective way to facilitate intelligent decision making.

6. Tableau (Big Data Analytics Tools)

Tableau is a very complete tool. Just like Power BI, Tableau allows creating dashboards, maps, and visualizations from data. You can use it for free to analyze data and turn it into more or less complex visualizations.

7. Apache Spark

Apache Spark is one of the leading tools because it is open source and simplifies data processing, both structured and unstructured. Apache Spark is a solution for big data needs because it can handle large and complex data sets for other databases.

8. Apache Hadoop

Apache Hadoop is considered one of the best tools for handling big data. It is written in Java and is an open source framework. Starting from text, images, to videos, Apache Hadoop has the potential to accommodate it all.

9. Xplenty

Xplenty is known for integrating and processing data analysis in the cloud. This is because the graphic interface and cloud platform are highly scalable and elastic. These data analysis tools do not invest in hardware, software, or related personnel to transform the raw data. Xplenty is widely used in the fields of marketing, sales, support and development.

10. Apache Cassandra

Apache Cassandra is an open source framework that is known for managing huge volumes of data in a short time. The features that differentiate it from other tools are linear scalability and the fact that this tool can be used for free.


Those are the ten best data analysis tools in 2022 that you can use to support your work in the field of data analysis. Each tool has advantages and disadvantages. Therefore, you should choose tools that suit your current needs and work.

Interested in topics around data? It’s best if you take a data science class from Algorithm Data Science School. You can choose various classes that suit your needs or current ability level. Apart from that, the curriculum has also received official certification from RStudio.

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